Enhancing Snow Depth Estimations Through Iterative Satellite Elevation Range Selection in GNSS-IR to Account for Terrain Variation
Author:
Affiliation:
1. Department of Geomatic Engineering, Yildiz Technical University, Istanbul, Turkey
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/10006360/10243156.pdf?arnumber=10243156
Reference45 articles.
1. Soil moisture monitoring using GNSS interference signal: proposing a signal reconstruction method
2. Improvement of Snow Depth Inversion Derived From Terrain Tilt Correction and Multi-GNSS Measurements Using the Helmert Variance Component Estimation
3. Estimation performance of soil moisture with GPS-IR method;altuntas;Sigma Journal of Engineering and Natural Sciences,2020
4. Toward Terrain Effects on GNSS Interferometric Reflectometry Snow Depth Retrievals: Geometries, Modeling, and Applications
5. Detection of Soil Moisture Variations Using GPS and GLONASS SNR Data for Elevation Angles Ranging From 2° to 70°
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1. A dynamic snow depth retrieval model based on time-series clustering optimization for GPS-IR;Advances in Space Research;2024-10
2. GNSS-IR water level monitoring toward particular narrow scenarios: Application to South-to-North Water Diversion Project in China;Measurement;2024-02
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